Papers
K-Medoids For K-Means Seeding
James Newling, François Fleuret
On Optimal Generalizability in Parametric Learning
Ahmad Beirami, Meisam Razaviyayn, Shahin Shahrampour et al.
On the Complexity of Learning Neural Networks
Le Song, Santosh Vempala, John Wilmes et al.
Collaborative Deep Learning in Fixed Topology Networks
Zhanhong Jiang, Aditya Balu, Chinmay Hegde et al.
Scalable Model Selection for Belief Networks
Zhao Song, Yusuke Muraoka, Ryohei Fujimaki et al.
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
Xingjian Shi, Zhihan Gao, Leonard Lausen et al.
Monte-Carlo Tree Search by Best Arm Identification
Emilie Kaufmann, Wouter M. Koolen
Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer, Itay Hubara, Daniel Soudry
Runtime Neural Pruning
Ji Lin, Yongming Rao, Jiwen Lu et al.
Inhomogeneous Hypergraph Clustering with Applications
Pan Li, Olgica Milenkovic
Counterfactual Fairness
Matt J Kusner, Joshua Loftus, Chris Russell et al.
On the Optimization Landscape of Tensor Decompositions
Rong Ge, Tengyu Ma
Gradients of Generative Models for Improved Discriminative Analysis of Tandem Mass Spectra
John T Halloran, David M Rocke
The Importance of Communities for Learning to Influence
Eric Balkanski, Nicole Immorlica, Yaron Singer
Predicting User Activity Level In Point Processes With Mass Transport Equation
Yichen Wang, Xiaojing Ye, Hongyuan Zha et al.
Parameter-Free Online Learning via Model Selection
Dylan J Foster, Satyen Kale, Mehryar Mohri et al.
Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning
Shixiang (Shane) Gu, Timothy Lillicrap, Richard E Turner et al.
Early stopping for kernel boosting algorithms: A general analysis with localized complexities
Yuting Wei, Fanny Yang, Martin J. Wainwright
Recursive Sampling for the Nystrom Method
Cameron Musco, Christopher Musco
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Urs Köster, Tristan Webb, Xin Wang et al.
Translation Synchronization via Truncated Least Squares
Xiangru Huang, Zhenxiao Liang, Chandrajit Bajaj et al.
Adaptive Active Hypothesis Testing under Limited Information
Fabio Cecchi, Nidhi Hegde